anonymous-2684/

UVQA

Using dense textual descriptions from Docci, we generate 10-choice multiple-choice VQA pairs with GPT-4o, followed by human verification.

	Dataset Detail







	


	1. Large Answer Space

Using 10 answer choices:

Reduces random guessing probability Enables more reliable evaluation

	2. Data Statistics




	

Statistic Value

Total QA pairs 36,241

Train split 23,905

Test split 12,336

Choices per question 10

QA pairs per… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-2684/UVQA.